MixRF: A Random-Forest-Based Approach for Imputing Clustered Incomplete Data
Version 1.0

It offers random-forest-based functions to impute clustered incomplete data. The package is tailored for but not limited to imputing multitissue expression data, in which a gene's expression is measured on the collected tissues of an individual but missing on the uncollected tissues.

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AuthorJiebiao Wang and Lin S. Chen
Date of publication2016-04-06 09:43:04
MaintainerJiebiao Wang <randel.wang@gmail.com>
LicenseGPL
Version1.0
URL https://github.com/randel/MixRF
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MixRF")

Man pages

MixRF: Mixed Random Forest
MixRF.impute: Impute a large number of genes using the MixRF algorithm with...
MixRF-package: A random-forest-based algorithm for imputing clustered...
sim: Simulated data list

Functions

MixRF Man page Source code
MixRF-package Man page
MixRF.impute Man page Source code
sim Man page

Files

NAMESPACE
data
data/sim.rda
R
R/MixRF.impute.r
R/MixRF.r
MD5
DESCRIPTION
man
man/MixRF-package.Rd
man/MixRF.impute.Rd
man/MixRF.Rd
man/sim.Rd
MixRF documentation built on May 19, 2017, 10:56 a.m.